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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3A3BCUH
Repositorysid.inpe.br/sibgrapi/2011/07.08.22.19
Last Update2011:07.08.22.19.49 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2011/07.08.22.19.49
Metadata Last Update2022:06.14.00.07.11 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.2
Citation KeyKomatiSamaSallSarc:2011:StBoDe
TitleA strategy for Boundary Detection Combining Region and Edge Information
FormatDVD, On-line.
Year2011
Access Date2024, Apr. 27
Number of Files1
Size3960 KiB
2. Context
Author1 Komati, Karin Satie
2 Samatelo, Jorge Leonid Aching
3 Salles, Evandro Ottoni Teatini
4 Sarcinelli Filho, Mário
Affiliation1 Universidade Federal do Espírito Santo
2 Universidade Federal do Espírito Santo
3 Universidade Federal do Espírito Santo
4 Universidade Federal do Espírito Santo
EditorLewiner, Thomas
Torres, Ricardo
e-Mail Addresse.salles@ele.ufes.br
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Conference LocationMaceió, AL, Brazil
Date28-31 Aug. 2011
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2011-07-23 15:36:12 :: e.salles@ele.ufes.br -> administrator :: 2011
2022-06-14 00:07:11 :: administrator -> :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsBoundary detection
multilabel graph cut
region growing
edge detection
AbstractAbstractA method to detect boundaries in in natural color images is here proposed, combining edge information and region information. This unsupervised fully automatic process uses edge map information to eliminate false boundaries in the image region map, and region map information to remove noise in the image edge map. Thus, it integrates these two maps into a single one to get the final result. This proposal is extensively compared to the multi-label graph cut approach, since both approaches are unsupervised and fully automatic, as well as receive the same two inputs, although performing different processing. Experiments performed on a large set of natural color images were the base for such comparison. The results show that the approach here proposed is promising, besides allowing interesting interpretations about boundary detection.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2011 > A strategy for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A strategy for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3BCUH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3A3BCUH
Languageen
Target FileArtigo_SIBGRAPI2011_v14 (1).pdf
User Groupe.salles@ele.ufes.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SKNPE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.00.56 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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